Classification of the heterogeneous structure of urban landscapes (STURLA) as an indicator of landscape function applied to surface temperature in New York City

Defining landscape structure and key relationships between landscape structure and function is challenging in urban areas characterized by density and patchy spatial patterns. In order to trace the spatial and temporal patterns of urban landscape structures, compare patterns across cities, or inform urban design principles, we need to classify the landscape in a way that captures context and landscape heterogeneity, but can be broadly applied across different cities or landscape variations within a city. In this study, we introduce a simple and reproducible approach for classifying the structure of urban landscapes (STURLA) that utilizes heterogeneous, composite classes which represent combinations of built and natural features, and examine the response of a landscape function – surface temperature.This classification approach is unique in that it develops composite (as opposed to homogeneous) classes, which are defined a posteriori, based on compositions of adjacent structural elements that emerge in the urban landscape, using a cellular grid to define units of analysis. We test the separability of classes that emerge from this approach, and find that it is possible to discern classes – comprised of the mix of land and building covers common in urban areas – which have meaningfully distinct temperature signatures. This classification approach may be extended to multiple cities and ecological indicators in order to offer insight into the relationship between urban landscape structure and ecosystem response, in a way that accounts for interactions among different types of urban landscape surfaces. We suggest that this approach can support spatial prioritization of landscape function needs in urban development and design approaches for improving particular types of functioning, such as reductions in urban heat.     

Spatial distribution, connectivity, and the influence of scale: habitat availability for the endangered Mona Island rock iguana

The Caribbean region is one of the five leading biodiversity hotspots in the world. Analysis of the spatial structure of critical habitats and how it affects endemic species in this region is essential baseline information for biodiversity monitoring and management. We quantified and evaluated the spatial structure and connectivity of depression forests on Mona Island and their potential impact on Mona Island rock iguana habitat, as a framework to assess spatial distribution, connectivity, and the issue of scale in small and widely dispersed habitats. Using IKONOS imagery, we mapped and delineated depression forests at four different scales (minimum mapping units: <100, 100, 500, and 1,000 m), and calculated landscape metrics describing their spatial structure, and connectivity, for each map resolution. Our approach resulted in a more detailed map than previously described maps, providing better information on habitat connectivity for iguanas. The comparison of the island landscape mapped at different scales provided evidence on how changing scales affect the output of spatial metrics and may have a significant impact when planning decisions and assigning conservation priorities. It also highlighted the importance of adequate ecological scales when addressing landscape management and conservation priorities. The analysis of landscapes at multiple scales provided a mechanism to evaluate the role of patch detection and its effect on the interpretation of connectivity and spatial structure of suitable areas for species with small and widely dispersed habitats. These methodologies can be applied other species, in different environments, with similar limitations related to connectivity and habitat availability.     

生态学中的尺度问题——尺度上推

尺度推绎是生态学理论和应用的核心。如何在一个异质景观中进行尺度推绎仍然是一个悬而未决的科学难题,是对当今生态学家在全球变化背景下研究环境问题的重大挑战。就目前的研究,一般可分为四大类尺度推绎途径:空间分析法(如分维分析法和小波分析法)、基于相似性的尺度上推方法、基于局域动态模型的尺度上推方法、随机(模型)法。基于相似性的尺度上推方法来源于生物学上的异量关联,可将其思想延伸至空间上,研究物种丰富度、自然河网、地形特征、生态学格局或过程变量和景观指数等。基于局域动态模型的尺度上推方法需要首先确定是否进行跨尺度推绎,以及是否考虑空间单元之间的水平相互作用和反馈,然后再应用具体的方法或途径,如简单聚合法、有效值外推法、直接外推法、期望值外推、显式积分法和空间相互作用模拟法等。随机(模型)法以其它尺度上推方法为基础,根据研究的是单个景观,还是多个景观,采用不同的途径。理解、定量和降低尺度推绎结果的不确定性已经变得越来越重要,但相关研究仍然极少。以上所有有关尺度推绎的方法、途径和结果分析共同构成了尺度推绎的概念框架。     

Landscape heterogeneity metrics as indicators of bird diversity: Determining the optimal spatial scales in different landscapes

Species distribution models are often used to study the biodiversity of ecosystems. The modelling process uses a number of parameters to predict others, such as the occurrence of determinate species, population size, habitat suitability or biodiversity. It is well known that the heterogeneity of landscapes can lead to changes in species’ abundance and biodiversity. However, landscape metrics depend on maps and spatial scales when it comes to undertaking a GIS analysis.We explored the goodness of fit of several models using the metrics of landscape heterogeneity and altitude as predictors of bird diversity in different landscapes and spatial scales. Two variables were used to describe biodiversity: bird richness and trophic level diversity, both of which were obtained from a breeding bird survey by means of point counts. The relationships between biodiversity and landscape metrics were compared using multiple linear regressions. All of the analyses were repeated for 14 different spatial scales and for cultivated, forest and grassland environments to determine the optimal spatial scale for each landscape typology.Our results revealed that the relationships between species’ richness and landscape heterogeneity using 1:10,000 land cover maps were strongest when working on a spatial scale up to a radius of 125–250 m around the sampled point (circa 4.9–19.6 ha). Furthermore, the correlation between measures of landscape heterogeneity and bird diversity was greater in grasslands than in cultivated or forested areas. The multi-spatial scale approach is useful for (a) assessing the accuracy of surrogates of bird diversity in different landscapes and (b) optimizing spatial model procedures for biodiversity mapping, mainly over extensive areas.     

Multi-scale analysis of butterfly diversity in a Mediterranean mountain landscape: mapping and evaluation of community vulnerability

This paper is an attempt to outline a protocol for animal diversity census and evaluation aimed for areas in view of landscape planning of territories of hundred square kilometres and more, that may work utilising different faunal groups and be anyway useful at various scales. Many papers are addressed to elaborate tools for landscape planning starting from biodiversity evaluation and butterflies are often utilised because of their sensitivity to landscape modifications. In this work, the biodiversity evaluation has been performed using three hierarchically linked landscape units at micro-, meso- and macroscale. Being species diversity values often inadequate to define the conservation interest of a landscape portion, more importance has been given to which species compose the species assemblages. A community vulnerability Index was coded and used for evaluating potential consequences of human disturbance on butterfly assemblages. Forty-four year samples were gained by visual census in the Sila Greca, Southern Italy, on an area of approximately 520 square kilometres. During 5 years work, 2,535 specimens and 94 species were recorded, equal to 75.8% of the whole Calabrian fauna. Four vulnerability levels have been established and used for mapping butterfly assemblage vulnerability in the area, starting from a vegetation map. Species richness was found somewhat contradictory at micro-scale, where the community vulnerability Index gives a sounder approach. S diversity gives a more reliable picture of naturalness at meso-scale, a level we identified with the “ecotope”. At this more “geomorphic” scale level, biological functions reflected by butterfly assemblages revealed to be clearly linked to seral processes. Similarity analysis results show that the ecotope species richness, here called “eta-diversity”, could be an useful measure of zoological landscape (faunation) potentialities.     

绿色食品基地的景观生态规划

在介绍景观生态规划、绿色食品基本概念的基础上,提出了景观生态规划在绿色食品基地建设中的意义,重点阐述了绿色食品基地的景观生态规划应遵循可持续发展和资源永续利用、系统综合性、因地制宜、景观异质性等原则。结合抚顺市绿色食品基地景观生态规划,分析了确定规划范围与规划目标、景观生态调查、景观空间格局与生态过程分析、景观生态适宜性分析、景观功能区划分等规划步骤,并探讨了此项规划的成功之处。     

小尺度海域空间评价单元划分技术研究——以福建省东山湾为例

科学合理的海域空间评价单元划分是各类海洋空间监测、评价、规划和管理的基础工作,对于保护海洋生态环境,实现海洋资源的可持续开发利用具有重大现实意义。然而,海洋的流动性、开放性、边界模糊性等特征,导致海洋空间评价单元划分较陆地而言更为复杂、困难。以福建省东山湾为例,提出一种适用于小尺度海域的空间评价单元划分技术方案,通过从化学属性、物理属性、生物学属性三个方面构建海域空间生态属性划分指标体系,进行空间分类评价,运用插值、叠加分析等GIS技术将东山湾划分为67个基本空间评价单元。研究结果不仅能为进一步划定东山湾海洋空间规划提供技术支持,同时为其他小尺度海域生态监测、评价、规划和管理提供科学参考。     

城市非点源污染控制的景观生态学途径

城市非点源污染是伴随城市快速发展而出现的新问题.城市土地利用的特殊性、不透水层面积的增加,使城市非点源污染不同于农业非点源污染,而控制难度更大.治理城市非点源污染的常用方法是最佳管理措施(BestManagementPractices,BMPs),主要采取一些局部修复措施在地表径流迁移过程中控制污染物.但城市土地利用格局的改变对非点源污染的影响十分显著,结合局部的BMPs和区域的景观规划是控制城市非点源污染的一个理想途径.城市非点源污染控制的景观生态学途径首先需要了解城市景观格局对非点源污染源、污染物迁移过程和受纳水体的影响,明确非点源污染与景观格局的关系,判定造成非点源污染的主要原因和关键环节.在此基础上,根据城市非点源污染控制要求,针对性地重新组合原有景观格局或引入新的景观要素以构建新的景观格局,并将BMPs融入规划之中,将景观规划与管理有机结合,增强城市景观异质性,实现对城市非点源污染的有效控制.     

IKONOS影像景观格局特征尺度的小波与半方差分析

建立不同方向和尺度下景观格局的小波分析方法,并以IKONOS PAN 1m 影像为例,对城市景观和农田景观格局进行了实例研究,并与半方差函数的分析结果进行比较分析。试验结果发现试验区的城市景观图像表现出不同层次和方向的结构特征,主要是阴影－单个楼房－楼房与道路的组合3个尺度的特征,分别出现在2m,16m和128m以及256m分析尺度上,农田景观主要是树木行－农田2个层次和方向尺度特征组合,分别为2m,128m和256m。半方差分析结果对试验区景观结构的多层次和方向不敏感,但可发现景观结构的总体平均特征。城市景观总体结构在空间上的变程为135m,反映的是楼房与道路组合的总体平均特征;农田景观总体结构在空间上的变程为152m。通过改变半方差函数的分析范围和计算间距可以克服半方差对多尺度分析的不足,如该试验通过缩小城市景观和农田分析范围,也发现城市景观有一个在空间结构上15m的变程,与小波分析的特征尺度16m非常接近,而农田景观出现空穴效应的周期一半长度大约为2m,正好是小波分析出种植树木的行距结构特征尺度的大小。这要分析者对研究有一定的先验知识才能够做到选择合适的分析范围,而这恰是景观格局特征尺度分析服务的目的。通过试验区研究证明小波分析是一非常有应用前景的景观格局研究方法,与半方差分析相比,对在解释多尺度结构和不同方向的结构具有明显的优势,且不受分析数据统计平稳假设的约束,但由于对图像分解是基于2进制,导致分析尺度以2的幂函数变化,不像半方差分析可通过理论模型拟合,对特征尺度的估计可以是连续的。     

Landscape structure versus the effectiveness of nature conservation: Roztocze region case study (Poland)

The objective of the study was to examine the extent to which landscape metrics could be used as an indicator of efficient management of protection areas. The selected sampling areas were natural–landscape units distinguished within the Roztocze Region located in the central-east Poland. Among 446 units, those representing three typological groups determined by three factors were selected. The factors included (1) the area of the unit; (2) the dominant or characteristic type of ecosystem; and (3) the form of protection. Subsequently, thirteen landscape metrics were calculated with the application of the Fragstats software. The analysis revealed high correlation between the form of nature protection and the majority of the calculated indexes. National park units show the highest landscape diversity and stability of various types of ecosystems. This suggests high conservation efficiency. Landscape park units are distinguished by fragmented patchy composition, and spatial structure even less stable than that of the non-protected areas. The study results show that landscape metrics could be used as an indicator of efficient management of different forms of nature protection. They provide an insight into the structure and functioning of the environment at various levels of its organisation. We particularly found diversity metrics to be useful for indicating whether nature conservation goals are archived, and the size and density metric for measuring human interference in the landscape. The selection and interpretation of indexes should be determined by the specific character of a given area.     

生态功能区划理论研究进展

作为生态系统管理的重要手段,开展科学合理的生态功能区划,已成为世界各国走向可持续发展所面临的关键挑战之一。生态功能区划针对一定区域内自然地理环境分异性、生态系统多样性、以及经济与社会发展不均衡性的现状,结合自然资源保护和可持续开发利用的思想,整合与分异生态系统服务功能对区域人类活动影响的生态敏感性,将区域空间划分为不同生态功能区的研究过程。生态功能区划反映了基于景观特征的主要生态模式,强调了不同时空尺度的景观异质性。通过梳理生态功能区划的概念与内涵、形成与发展及其理论基础,提出了生态功能区划是以恢复区域持续性、完整性的生态系统健康为目标,基于区域的自然地理背景,界定生态功能分区及其子系统的边界,结合区域水陆生态系统、社会经济与土地利用的现状评价与问题诊断,识别生态系统空间格局的分布特征、生态过程的关键因子以及动态演替的驱动因子,明确影响生态系统服务功能的景观格局与结构、景观过程与功能以及景观动态变化,构建生态功能区划的指标体系与技术体系,实现生态功能多级区划,并为决策者更为全面和综合地开展生态系统管理提供科学依据。     

Resource use by the dryad butterfly is scale-dependent

The factors shaping the ways in which animals use resources are a key element of conservation biology, but ecological studies on resource use typically neglect to consider how the study’s spatial scale may have affected the outcomes. We used the dryad butterfly, inhabiting xerothermic grassland and wet meadow, to test for differences in its resource use at two scales–habitat patch and landscape. Based on records of plant species composition from random points within four habitat patches and from points in 53 patches along surveyed transects, we compared the microhabitat preferences of the butterfly on the patch scale, and species occurrence and abundance patterns on the landscape scale. We distinguished four main groups of factors related to vegetation structure which affected the butterfly’s resource use—factors having similar effects on both spatial scales, factors operating primarily on one of the scales considered, factors relevant only on a single spatial scale, and factors operating on both scales but with effects differing between the two habitat types. We suggest that invertebrates may respond on two spatial levels or on only one, and conclude that larger-scale studies can meet the challenges of a sophisticated metapopulation approach and can give insight into the habitat characteristics affecting the persistence of species in landscapes. We stress the value of large-scale studies on species’ habitat preferences when planning conservation strategies, while pointing out that small-scale studies provide useful information about species ecology and behavior, especially if conducted in multiple habitats.     

Exploring effective conservation networks based on multi-scale planning unit analysis. A case study of the Balsas sub-basin,Maranhão State,Brazil

Nature conservation and restoration activities require delineation of effective conservation networks. This paper presents a methodology which allows a quick evaluation of different planning options for extensive areas. We analyzed the spatial structure of remaining patches of the natural Cerrado vegetation in the Balsás sub-basin, South of Maranhão State of Brazil (about 25,590 km²) in order to understand how the remaining habitats are distributed and spatially configured. Conservation area network scenarios are based on hexagonal cells, referred to as analysis unit (AU) cells. A multi-scale analysis of 10,000 ha and 50,000 ha AU cells was set up to represent local and regional scales, respectively. For each AU at both local and regional scales we computed landscape metrics of native vegetation: NATIVE VEGETATION COVER: percentage of native vegetation cover; (NV-NP): number of patches; (NV-MSI): mean shape index. Subsequently, five different conservation and restoration strategies were defined: (a) only enforce nature conservation within legally established units; (b) target nature conservation only within the local AU landscape; (c) target regional management by combining neighboring AU; (d) management of both local landscape and region; (e) protect the legal conservation areas and promote local and regional conservation. We also generated scenarios of habitat capacity for mammals and matched these results with the different vegetation conservation scenarios. Results indicate that only 12% of the study area is well conserved and that 43% of the region is in a very critical condition. The percentage of AU cells where native vegetation conservation actions are required differ for the five conservation strategies: These results allow policy makers and other stakeholders to target the locations and extent of conservation units required. We suggest that about 45% of the sub-basin could be managed at local, regional or both scales. Regarding a mammal species diversity scenario an even higher percentage of the average habitat capacity of the selected species occurs in open cerrado and valleys areas that coincide with critical areas. The proposed multi-scale analysis unit cell approach can support the planning process of extensive areas as necessary in Brazil.     

景观空间异质性及城市化关联——以江苏省沿江地区为例

空间异质性是揭示地理现象空间分异规律的重要标志.基于高分辨率卫星遥感影像数据,利用景观生态指数和统计学方法,构建景观空间异质性综合模型,定量测度了江苏省沿江地区景观空间异质性特征及城市化关联,并基于二者的相关性将研究区域划分为6个异质性梯度区,提出了应对城市化干扰的景观空间协调对策.结果表明:景观空间异质性综合模型是对景观斑块结构、形态、数量3个组分特征的反映,是揭示景观连通性、稳定性和破碎化的重要依据;景观空间异质性与3个城市化参数之间存在显著的正相关,城镇空间扩张模式和城镇人口的集聚强度对景观空间异质性影响较大;景观空间异质性梯度分异与区域开发强度、开发时序存在显著的耦合关系;同时,面对城市化的干扰,应该实施保护生态景观空间、减少建设空间与其它景观的接触概率和实施差别化的城市化战略等政策协调城市化发展与景观生态保护之间的矛盾.     

Landscape heterogeneity at multiple spatial scales enhances spider species richness in an agricultural landscape

Landscape supplementation, which enhances densities of organisms by combination of different landscape elements, is likely common in heterogeneous landscapes, but its prevalence and effects on species richness have been little explored. Using grassland-dwelling spiders in an agricultural landscape, we postulated that richness and abundances of major constituent species are both highest in intermediate mixtures of forests and paddy fields, and that this effect derives from multi-scale landscape heterogeneity. We collected spiders in 35 grasslands in an agricultural landscape in Japan and determined how species richness and abundances of major species related to local and landscape factors across different spatial scales. We used a generalized linear model to fit data, created all possible combinations of variables at 15 spatial scales, and then explored the best models using Akaike's information criterion. Species richness showed a hump-shaped pattern in relation to surrounding forest cover, and the spatial scale determining this relationship was a 300–500-m radius around the study sites. Local variables were of minor importance for species richness. Abundances of major species also exhibited a hump-shaped pattern when plotted against forest cover. Thus, a combination of paddy fields and forests is important for enhancement of grassland spider species richness and abundance, suggesting habitat supplementation. The effective spatial scales determining abundances varied, ranging from 200 to >1000 m, probably representing different dispersal abilities. Landscape compositional heterogeneity at multiple spatial scales may be thus crucial for the maintenance of species diversity.     

Landscape ecology planning principles in Korean Feng-Shui, Bi-bo woodlands and ponds

The purpose of this study is to suggest practical planning principles, which are absent in landscape ecology planning, according to which the spatial completeness of the watershed is derived from native Korean Feng-Shui (). Landscape ecology planning principles are used widely in contemporary planning projects in terms of patch, corridor, matrix and network of landscape pattern. However, landscape indices for planning principles are complicated and constrained, and so are limited to applications for site and eco-village plannings. Native Korean Feng-Shui is different from Chinese Feng-Shui in that it is aimed at theoretical completeness in terms of aspect and topographical shape, based on the concept of ideal Myung-dang () to complete the space, according to local conditions in the physiognomy of the watershed. The complementary method is called Bi-bo () in native Korean Feng-Shui. These principles have been applied in traditional Korean villages, leading to consistent location choices and fractal patterns in land use. Furthermore, Bi-bo woodlands and ponds have been introduced to achieve spatial completeness in the landscape structure of the village.     

大城市边缘区景观破碎化空间异质性——以北京市顺义区为例

探索大城市边缘区景观破碎化格局及其空间异质性特征,有助于把握景观动态的变化机制及其生态问题.以北京市顺义区这一典型大城市边缘区为例,基于土地利用分类数据,采用有效粒度尺寸方法,对1992年、1999年和2009年景观破碎化空间变异进行了地统计学分析,主要包括尺度依赖性、空间异质性、空间格局及其生态过程的分析.研究结果表明:1)景观破碎化空间变异具有明显的尺度依赖性特征,由空间自相关部分引起的空间异质性较高;1992年和1999年景观破碎化空间总变异相对缓和,2009年空间总变异强烈;通过不同尺度上的异质性对比,选取1000m幅度作为研究区景观破碎化的空间异质性分析较为适宜.2)景观破碎化空间异质性表现出明显的上升趋势,土地利用斑块破碎化不断加剧,其中1999-2009年间的表现尤为强烈.3)景观破碎化高值区呈现出由东部向西部转移的态势,并且其空间布局具有集聚性与分散性的显著特征,空间上相似属性聚集与相异属性聚集的空间格局十分突出.4)景观破碎化空间自相关作用主要来自高强度社会经济活动的影响,并表现出明显的区位特征.该研究结果可为土地、城镇规划以及景观生态建设提供参考.     

Crowdsourcing indicators for cultural ecosystem services: A geographically weighted approach for mountain landscapes

Integrating cultural dimensions into the ecosystem service framework is essential for appraising non-material benefits stemming from different human–environment interactions. This study investigates how the actual provision of cultural services is distributed across the landscape according to spatially varying relationships. The final aim was to analyse how landscape settings are associated to people's preferences and perceptions related to cultural ecosystem services in mountain landscapes. We demonstrated a spatially explicit method based on geo-tagged images from popular social media to assess revealed preferences. A spatially weighted regression showed that specific variables correspond to prominent drivers of cultural ecosystem services at the local scale. The results of this explanatory approach can be used to integrate the cultural service dimension into land planning by taking into account specific benefiting areas and by setting priorities on the ecosystems and landscape characteristics which affect the service supply. We finally concluded that the use of crowdsourced data allows identifying spatial patterns of cultural ecosystem service preferences and their association with landscape settings.     

红松存在/不存在数据的多尺度空间分布格局

红松属小兴安岭地区地带性植被优势种,该地区也是其分布的北缘。在景观尺度上开展红松的分布格局研究有利于进一步了解红松分布机理、未来迁移过程等问题,对其经营和保护有重要意义。将景观指数法与点格局分析法结合,设定8个空间尺度,利用红松存在/不存在数据,通过计算各空间尺度上红松聚集程度和景观指数,分析小兴安岭地区红松种群在多尺度上的分布格局。研究结果表明,小尺度上红松聚集分布明显,随机分布区多处于其聚集分布区的边缘,均匀分布区则散布在其聚集分布区内。景观指数研究表明,通过景观指数可判断红松聚集分布格局趋势,而不能判断均匀分布、随机分布格局趋势,因为它们在多尺度下景观指数波动大,不能用景观指数来描述分布格局。研究得出如下结论:1)红松主要分布在其分布区的核心区域内,在分布区边缘和过渡带上呈随机分布,2)存在/不存在数据能够用来分析种群的多尺度空间分布格局,3)空间尺度的变化会引起树种分布格局的变化,随机分布随尺度增加,边缘化程度加强,4)单一尺度上,景观格局指数不能完全描述种群分布格局;而在多尺度上,变化趋势稳定的景观指数表明聚集分布存在,而波动剧烈的景观指数常与随机分布和均匀分布联系在一起,5)地形因子中,红松对坡度和海拔两个因子变化敏感。     

Multi-Scale Identification of Urban Landscape Structure Based on Two-Dimensional Wavelet Analysis: The Case of Metropolitan Beijing,China

Scale dependence is one of the major characteristics of landscape. Urban landscape is highly affected by human activities with a multi-scale structure, which makes the multi-scale identification of urban structure an obligation for urban spatial studies. Although there have been many previous studies on urban landscape structure, most of them have been conducted on a single scale, and the multi-scale effects of landscape patterns were rarely involved. Two-dimensional wavelet transforms can link spatial structures to scale and spatial locations, and maybe an effective method for the multi-scale analysis of landscape. In this paper, we applied two-dimensional discrete wavelet transform and wavelet variance to analyze the multi-scale spatial structure characteristics and the nested hierarchical structure of the metropolitan Beijing area. The results indicated that the spatial distribution and configuration of the patches were highly scattered at small scales, and the urban landscape exhibited a relatively complicated structure. At medium scales, a combination of the polycentric and sectorial structure was identified due to the prominence of dominant patches within each administrative district. At larger scales, the urban landscape pattern exhibits typical concentric ring characteristics. Two characteristic scales were detected by the wavelet variance in the south-north direction of the main urban zones, scale 4 (112m) and 8 (1792m) in Dongcheng District, scale 3 (56m) and 6 (448m) in Xicheng District, which were corresponding to the extent of middle-small blocks and large blocks respectively. One characteristic scale was detected in each of the suburb areas (Chaoyang, Haidian, and Fengtai District). The spatial structure of the main urban zones is more complex than that of the suburb areas, and it presents a typical hierarchical structure in the south-north direction. In general, the spatial structure of Beijing metropolitan area appears polycentric and concentric ring structure at large scales, the main urban area has nested hierarchies at different characteristic scales, and the wavelet method can effectively identify multi-scale characteristics of urban spatial structure.